Senior MLOps Engineer

Role overview Develop and maintain the cloud-native foundations that help engineering and data science teams build and run machine-learning and AI workloads at scale. The work spans infrastructure, developer tooling, and MLOps and LLMOps lifecycle practices, with an emphasis on dependable production systems and team self-service. This senior role is remote within Brazil and open to candidates based there.

Responsibilities - Evolve and maintain the machine-learning platform, including Kubeflow, Feast, and Spark running on Kubernetes. - Build tools, APIs, and abstractions that help distributed teams manage their own ML workflows. - Work with data scientists to bring CI/CD, version control, and testing practices into model development and delivery. - Improve the journey from experimental notebooks to production through orchestration, deployment frameworks, and automation. - Partner with infrastructure and data teams to connect ML artifacts with data cataloging, privacy, and governance systems. - Incorporate developer feedback into shared platform capabilities while supporting consistent engineering standards.

Requirements - Hands-on mastery of Kubeflow, Spark, Kubernetes, and AWS. - Strong Python skills for developing reusable libraries, APIs, and tooling. - Deep experience with DevOps practices for ML or AI, including CI/CD, infrastructure as code such as Terraform or Crossplane, and observability. - Ability to collaborate with data science teams on platform architecture and adoption. - Understanding of how ML infrastructure fits within broader data catalog, privacy, and governance frameworks. - A software-minded, product-oriented approach to platform reliability, scalability, and developer experience.

Benefits and work setup Remote work is available within Brazil, with flexible work arrangements and schedules and a home-office reimbursement. Listed benefits include health, dental, and life insurance; wellness and emotional-support resources; paid parental leave; and paid time off that grows with tenure, plus a birthday day off. Learning and career-development resources are also offered.